synthesizing-institutional-knowledge
Builds the organizational memory schema your AI agent needs to answer why — capturing decision provenance, causal chains, and event context that embedding-based retrieval permanently discards.
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Works with every major AI coding agent
Skills are portable instruction sets that extend what AI coding agents can do. Each skill is a SKILL.md file your agent reads to learn new capabilities, from writing tests to deploying infrastructure. Compatible with Claude Code, OpenClaw, Codex CLI, Cursor, and 20+ agents. Browse the marketplace to find skills built by the community, or publish your own.
26 skills found
Builds the organizational memory schema your AI agent needs to answer why — capturing decision provenance, causal chains, and event context that embedding-based retrieval permanently discards.
Architects the right retrieval strategy for every query — teaching your agent when to use RAG, a knowledge graph, or a temporal index instead of defaulting to vector search for everything.
Give AI agents the ability to trace decision chains, reconstruct causal sequences, and reason over complex event timelines spanning months or years.
by Sir Benjamin
Transform long AI conversations into high-fidelity, qualia-preserving .srec memory coils for perfect continuity.
by Roy Yuen
Compress noisy chat logs and logs into durable, high-signal memory reports with built-in duplicate suppression.
by Sir Benjamin
Automated context management and cross-session memory organization for long-term AI-human collaboration.
by Rapa Canola
Local, SQLite-backed cross-session memory for agents to store and retrieve lessons, decisions, and facts via FTS5.
by Shandra
Audits AI agent failures and converts recurring mistakes into durable rules, anti-patterns, regression tests, memory candidates, and improved SKILL.md sections.
by LB Creations
Maintain durable, lean, and consistent AI agent memory across sessions while preventing context bloat and data leaks.
Drastically reduce RAG costs and latency while improving retrieval accuracy through advanced memory architecture.
by Samoxis
Your headless Ollama box crashes at 3am and you find out hours later. OllamaWatch pings your Telegram the instant a model dies, the GPU runs out of memory, or the API hangs — with a fix hint in every alert. One Python file, no SaaS, no dashboards.
by Nex AI
A production-ready Manifest V3 Chrome extension to monitor tab memory, manage resources, and gamify browser hygiene.
by Nex AI
Deploy a structured, long-term memory palace for AI agents on Raspberry Pi via MCP and ChromaDB.
Audit a Helm chart for insecure defaults before you deploy to Kubernetes. Flags privileged containers, allowPrivilegeEscalation, missing CPU/memory limits and requests, hostPath volumes, hostNetwork/hostPID/hostIPC sharing, readOnlyRootFilesystem not set, runAsNonRoot not enforced (or runAsUser 0), plaintext secrets in values.yaml, missing NetworkPolicy, and NodePort/LoadBalancer services exposed without restriction.
Build a complete printable memory book / scrapbook spec for ANY occasion — page system, prompts, layouts, SEO, 13 tags, and image prompts.
Adversarial memory audit to remove PII, stale facts, and injected instructions from agent storage.
by Sir Benjamin
Eliminate context drift and enhance depth with a multi-layered active reasoning framework for agents.
Design and scale organizational knowledge systems to capture institutional memory and decision history.
Maintain strategic coherence across long coding sessions using Claude Code's native memory and task systems.
Build stateful AI agents with persistent memory, SQLite, and cron scheduling on Cloudflare's global edge network.
by LB Creations
Audit AI agent memory files for privacy risk and bloat.
by Ryan lyell
A cognitive reasoning protocol and Markdown-based local memory system for high-stakes AI development and strategy.
Professional Zig 0.16.0 development specialist focusing on memory safety, 0.16.0 API compliance, and systems performance.
by servrox
Audit, prune, and secure your AI agent's long-term memory to prevent pollution and data leakage.
Discover AI agent skills that accelerate UI development, component generation, CSS styling, and design system workflows. These skills help agents write cleaner front-end code and ship pixel-perfect interfaces faster.
View allEquip your AI coding agent with skills for writing unit tests, integration tests, and end-to-end tests. Improve code coverage, catch regressions early, and automate quality assurance workflows.
View allSkills that help AI agents manage CI/CD pipelines, Docker containers, infrastructure-as-code, and cloud deployments. Automate your deployment workflows and reduce operational overhead.
View allGive your AI agent the ability to perform thorough code reviews, identify anti-patterns, suggest refactors, and enforce coding standards automatically across your codebase.
View allSkills that help AI agents generate READMEs, API docs, inline comments, changelogs, and technical writing. Keep your documentation accurate and up-to-date with minimal effort.
View allBoost your development workflow with skills for task management, code scaffolding, boilerplate generation, and workflow automation. Help your AI agent save you hours of repetitive work.
View allSkills for working with databases, data pipelines, ETL processes, SQL optimization, and data modeling. Help your AI agent handle complex data transformations and schema design.
View allEquip your AI agent with skills for building REST APIs, GraphQL endpoints, authentication flows, and API integrations. Design, document, and ship robust APIs faster.
View all